# Deep Learning Tutorials

## How to use Deep Lake for Deep Learning Applications

Deep Lake can be used as tool for managing Deep Learning data, including rapidly training models while streaming data, running queries, tracking dataset versions, visualizing datasets, and more.

These tutorials show how to use Deep Lake's low-level API for deep-learning use cases. 

### Deep Learning Tutorials:

{% content-ref url="deep-learning/creating-datasets" %}
[creating-datasets](https://docs-v3.activeloop.ai/v3.7.2/tutorials/deep-learning/creating-datasets)
{% endcontent-ref %}

{% content-ref url="deep-learning/training-models" %}
[training-models](https://docs-v3.activeloop.ai/v3.7.2/tutorials/deep-learning/training-models)
{% endcontent-ref %}

{% content-ref url="deep-learning/updating-datasets" %}
[updating-datasets](https://docs-v3.activeloop.ai/v3.7.2/tutorials/deep-learning/updating-datasets)
{% endcontent-ref %}

{% content-ref url="deep-learning/data-processing-using-parallel-computing" %}
[data-processing-using-parallel-computing](https://docs-v3.activeloop.ai/v3.7.2/tutorials/deep-learning/data-processing-using-parallel-computing)
{% endcontent-ref %}